zah

Image descriptor generator

A system for generating image descriptors suitable for keyword spotting using pre-trained convolutional neural networks and feature aggregation techniques.

An image descriptor, suitable for keyword spotting, that is computed as a function of Convolutional Neural Network intermediate layer responses. Implemented in MATLAB.

GitHub

2 stars
1 watching
1 forks
Language: MATLAB
last commit: over 6 years ago
Linked from 1 awesome list

convolutional-networkskeyword-spottingmatconvnetneural-networks

Backlinks from these awesome lists:

Related projects:

RepositoryDescriptionStars
zsdonghao/text-to-imageA TensorFlow implementation of generating images from text descriptions using a Generative Adversarial Network (GAN) architecture602
slsfi/abbi-ng-ai-image-descriptorAn Angular web app for generating AI-generated image descriptions using OpenAI models1
zhirongw/deep-mrfA deep learning model for probabilistic image representation and generation based on Markov Random Fields76
mansimov/text2imageA model that generates image patches from natural language descriptions by iteratively drawing and attending to relevant words.594
zalandoresearch/famosAn adversarial framework for generating stylized images through an iterative process of optimizing and refining the output based on comparison to both content and texture images.128
eps696/aphantasiaA text-to-image tool using CLIP and FFT/DWT parameters to generate detailed images from user-provided text prompts.778
mxgmn/convchainAn algorithm for generating images from patterns using Markov chains and MCMC sampling743
reedscot/icml2016Generates synthetic images from text descriptions using a Generative Adversarial Network (GAN)912
jcjohnson/cnn-visThis project enables users to generate images using convolutional neural networks (CNNs) and visualize their activations.499
jcjohnson/densecapA deep learning framework for generating natural language descriptions of images by detecting objects and their attributes1,584
subeeshvasu/awsome_delineationA curated list of resources and papers on 3D and 2D delineation techniques for image processing and computer vision applications.22
ibm/max-fast-neural-style-transferA service for generating new images by mixing the content of an input image with the style of another image.51
kohjingyu/gillA software framework for generating images and text using large language models440
nousr/koiAn AI-powered plugin for Krita that enables img2img generation using Stable Diffusion models445
soumith/dcgan.torchA PyTorch implementation of a deep generative model that can be used to generate images from a dataset.1,466